Instructions to use simecek/DNADebertaSmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNADebertaSmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNADebertaSmall")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaSmall") model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaSmall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simecek/DNADebertaSmall: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/simecek/DNADebertaSmall/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simecek/DNADebertaSmall/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simecek/DNADebertaSmall/resolve/main/pytorch_model.bin
187 MB
- Xet hash:
- 2e4786e70712bfa895259aa78a2060793bbeb91ee639381154a0d6eead327dfb
- Size of remote file:
- 187 MB
- SHA256:
- 7d3642db53c9004a15e01cf81987998d735a30f99ffb13051c1ea5cae69596b9
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